Preparing Simulative Evaluation of the GLOSA Application. ITS World Congress, Vienna, 26 of October 2012
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1 Preparing Simulative Evaluation of the GLOSA Application ITS World Congress, Vienna, 26 of October 2012 D. Krajzewicz, L. Bieker, J. Erdmann; German Aerospace Center
2 Introduction DRIVE C2X Aim: to lay out the foundation for rolling out cooperative systems in Europe Co-funded by the European Commission 31 partners and 15 support members Seven test sites Validating 18 V2X functions Duration of 36 months 18.8 mio. budget Preparing Simulative Evaluation of the GLOSA Application > > 2
3 Introduction GLOSA - Green light optimized speed advisory GLOSA is a pure I2C (Infrastructure-to-Car/Vehicle) function Infrastructure sends Information SPAT-messages: Signal Phase And Timing containing information about traffic light state and prediction of next switches Period: 1s INFRA-messages: Information about the road topology Period: 1s Vehicles receive messages only, do not send information Preparing Simulative Evaluation of the GLOSA Application > > 3
4 Introduction GLOSA - Green light optimized speed advisory Function Behavior Knowing the topology and the signal timings ahead, the vehicle on-board-unit (OBU) can compute the speed to choose for passing the next traffic light at green The speed is presented to the driver as an advice Expected impacts: Reduction of stop times and acceleration in urban areas, hence Reduction of fuel consumption, emissions and travel time Smoother traffic flow Preparing Simulative Evaluation of the GLOSA Application > > 4
5 Introduction Purpose of the simulative Investigations Simulations are used in several steps of the DRIVE C2X project Preparing test trials Predicting performance to be expected Verification of used models Extrapolation of performance In this report, we describe Implementation of GLOSA in a simulation environment First simulation results Preparing Simulative Evaluation of the GLOSA Application > > 5
6 Set Up Simulators The state-of-the-art system for simulating C2Xapplications consists of a traffic simulation, here SUMO ( Simulation of Urban Mobility, a communication simulation, here an own development, described in [1] a simulation of the C2X function to evaluate a system for coupling these modules [1] L. Bieker, D. Krajzewicz, M. Röckl, H. Capelle (2010) Derivation of a fast, approximating p simulation model. In: Intelligent Transport Systems Telecommunications (ITST2010), Nov. 2010, Kyoto, Japan. Preparing Simulative Evaluation of the GLOSA Application > > 6
7 Set Up Scenario The Helmond (NL) test site was modeled Originally imported from OpenStreetMap ( Manually corrected speed limits, number of lanes, traffic lights Traffic lights were set up with a fixed cycle, Helmond actually has adaptive lights Preparing Simulative Evaluation of the GLOSA Application > > 7
8 Set Up Tests Different simulation set-ups Single vehicle behavior Equipped vs. unequipped Validation of single vehicle behavior Dependency on the communication range Group behavior Equipped vehicles starting in front of unequipped vehicles Equipped vehicles starting between unequipped vehicles Preparing Simulative Evaluation of the GLOSA Application > > 8
9 Evaluation Trajectories Below: trajectories of 90 vehicles, starting at different time offsets; cycle lengths of all traffic lights is set to 90s, 40s green per direction unequipped equipped communication range: 1000m Preparing Simulative Evaluation of the GLOSA Application > > 9
10 Evaluation Trajectories / 2 Below: progress through the network, same settings as before unequipped equipped communication range: 1000m Preparing Simulative Evaluation of the GLOSA Application > > 10
11 Evaluation Aggregated Measures Below: distributions for 90 vehicles, as above, but for different communication ranges Note that not all performance values decrease Preparing Simulative Evaluation of the GLOSA Application > > 11
12 Evaluation Some Explanation Why not? because of moving slowly towards the intersection: Preparing Simulative Evaluation of the GLOSA Application > > 12
13 Results Observations and Issues Issues found (in our model) Problems if the allowed speed changes while approaching a traffic light A meaningful lower boundary for advised speed Things to be determined using test trials and model extension Performance in conjunction with adaptive traffic lights Shadowing from buildings, trees, etc. and other vehicles Real-world driver behavior esp. deceleration when using GLOSA Preparing Simulative Evaluation of the GLOSA Application > > 13
ITS USE CASE. Disclaimer
ITS USE CASE Use Case Title: Green Light Optimal Speed Advisory (GLOSA) Project Name: Standaardisatie Tafel (NL) Source: Amsterdam Group (AG), EcoAT, ISO-19091, ETSI-TS103301, SAE-J2735 Date: 2015-11-25
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